QuantPad
QuantPad is a cloud workspace for quantitative traders with built-in institutional market data, Python sandboxes, and an AI research agent that writes and backtests strategies. It supports PineScript, NinjaScript, PowerLanguage, and EasyLanguage, includes a prop firm simulator, and connects to Claude Code, Codex, and Cursor via MCP.
What is QuantPad?
QuantPad is an AI-powered IDE for quantitative trading that bundles institutional-grade market data, cloud Python sandboxes, and an autonomous research agent into one workspace. The product includes market data for 40+ futures markets, the full US equity universe of 8,000+ symbols, and complete options chains for equities and futures, with history from monthly bars down to tick trades and order-book depth. Users can access this data through an MCP server so coding agents like Claude Code, Codex, and Cursor can query it conversationally, or through a REST API and Python SDK via a one-line quantpad_data import. The AI research agent helps build and backtest strategies, reads trade logs, writes analysis code, and produces regime-aware analytics such as Verdict grades and Monte Carlo simulations. For prop firm traders, QuantPad includes a simulator that runs thousands of Monte Carlo simulations against the real rules of firms like Topstep, Apex, and Take Profit Trader to estimate pass probability and expected payout. The platform supports multi-DSL development with PineScript, NinjaScript, PowerLanguage, and EasyLanguage, integrated linters, curated retrieval, and domain skills. Community features let users share, like, favorite, comment on, and clone projects. Pricing is a single plan at a launch rate of $169.99 per month, with a standard rate of $299.99 after the launch offer, and usage-based top-ups at provider cost with no markup. The platform's included usage allowance refreshes monthly and can be topped up at provider cost with no markup, with optional auto-recharge for heavy users. For manual traders, the trade-log analysis workflow uploads a log, reads it, writes analysis code, and produces regime charts with suggested next steps. The community research hub supports sharing, liking, favoriting, commenting on, and cloning projects, so users can fork a published strategy with one click and run it in a fresh project. QuantPad's coverage spans CME Globex futures, NYSE, Nasdaq, and ARCA equities, OPRA equity options, and CME futures options, with previews illustrating the data available per plan tier.
QuantPad Core Features
Institutional market data
40+ futures markets, 8,000+ US equities, full options chains included
MCP integration
Claude Code, Codex, and Cursor can query market data conversationally
AI research agent
Builds and backtests strategies alongside the user
Cloud Python sandboxes
Backtesting and research notebooks with bundled compute
Multi-DSL support
PineScript, NinjaScript, PowerLanguage, and EasyLanguage
Prop firm simulator
Monte Carlo pass-probability analysis for Topstep, Apex, and more
Regime-aware validation
Verdict grades and regime analysis for strategy evaluation
Community research hub
Share, like, and clone projects, papers, and strategies
Who is QuantPad for?
QuantPad is built for quantitative traders and systematic researchers who want an all-in-one environment instead of stitching together data vendors, notebooks, and backtesting platforms. Futures and equity traders use the included market data coverage, spanning 40+ futures markets, 8,000+ US equities, and full options chains, without separate data subscriptions. Proprietary traders preparing for funded challenges use the prop firm simulator to run Monte Carlo simulations against the rules of Topstep, Apex, and Take Profit Trader to estimate pass probability before paying evaluation fees. PineScript and NinjaScript developers use the multi-DSL coding support with integrated linters to build indicators and strategies for their venues. Python researchers use the cloud sandboxes and quantpad_data import to pull historical data for research. AI-native traders connect Claude Code, Codex, or Cursor over MCP so their coding agent can query market data in plain English. Community contributors share, clone, and remix projects, papers, and strategies within the platform. Quantitative researchers migrating from local notebooks appreciate the preloaded data and cloud execution, while students learning systematic trading use the curated retrieval and domain skills as guided references. CTA and fund developers use the linters and platform-aware checks to keep their production code aligned with venue rules. Quantitative finance students use the included data to complete coursework without vendor licenses, and experienced traders use the community hub to validate their own strategies against published research before deployment.
QuantPad Use Cases
Build and backtest a PineScript strategy against 10 years of NQ futures tick data
Connect Claude Code to QuantPad MCP to pull market data into a coding project
Run Monte Carlo simulations to estimate pass probability before buying a prop firm evaluation
Analyze a trade log with regime and volatility context from real market data
Research options chains for equities and futures without a separate data vendor
Clone a community strategy and adapt it to a new venue's DSL
Write and lint NinjaScript indicators against real platform rules
QuantPad Pros and Cons
Pros
- Bundled institutional market data removes the need for separate data subscriptions
- AI agent plus multi-DSL support covers both novice and professional workflows
- Prop firm simulator directly addresses a costly, common trader problem
- MCP integration fits modern coding-agent workflows
Cons
- No free tier and a high entry price at $169.99 per month launch rate
- Historical depth varies by asset class, with some order-book history limited to 30 days
- Strategy quality still depends on the user's research rigor and modeling skill
FAQ About QuantPad
QuantPad Pricing
Single full-access plan at launch price $169.99/month (standard $299.99/month); usage top-ups at provider cost with no markup.
Check official pricingQuantPad
Full access: institutional market data, quant research agent, cloud sandboxes, DSL support, prop firm simulator
Standard
Regular price after the launch offer ends
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